AI Associate AI Fundamentals Practice Question
A predictive model for lead scoring shows high precision but low recall. Which business impact is most likely?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Many high-quality leads are not followed up
High precision means most leads flagged as hot are indeed hot, but low recall means many actual hot leads are missed, causing lost opportunities.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Many high-quality leads are not followed up
Why this is correct
Correct: low recall means the model misses a large fraction of true hot leads.
- ✗
The model is overfitted to training data
Why it's wrong here
Overfitting could cause high precision on training but not directly explain low recall.
- ✗
Sales team spends time on many leads that never convert
Why it's wrong here
That would indicate low precision, not high precision.
- ✗
The model has high bias
Why it's wrong here
High bias typically leads to underfitting, not necessarily high precision with low recall.
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Variation 1. A predictive model for opportunity scoring shows high precision but low recall. Which business impact is most likely?
hard- A.The model is overfitting to the training data
- B.The sales team wastes time on many low-quality opportunities
- C.The model overestimates the likelihood of conversion for most opportunities
- ✓ D.The sales team misses some convertible opportunities
Why D: High precision means few false positives (won deals predicted correctly), but low recall means many actual wins are missed. The sales team will likely miss out on some convertible opportunities.
JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AI Associate practice question is part of Courseiva's free Salesforce certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI Associate exam.